Research Scientist: World Models & 3D AI

Research Scientist: World Models & 3D AI

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
S

At a Glance

  • Tasks: Architect generative world models and develop foundational ML models in AI.
  • Company: SpAItial AI, a leader in innovative AI solutions based in London.
  • Benefits: Competitive salary, cutting-edge projects, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Join us to shape the future of AI and push the boundaries of technology.
  • Qualifications: PhD in Computer Science or related field, strong knowledge of generative models.

The predicted salary is between 70000 - 90000 Β£ per year.

SpAItial AI is seeking innovative individuals to pioneer the next generation of World Models in London. You'll architect generative world models and develop foundational ML models that push the boundaries of generative AI and computer vision.

Ideal candidates hold a PhD in Computer Science or a related field, possess strong knowledge of generative models and deep learning frameworks, and excel in coding and ML experimentation. Join us to shape the future of AI!

Research Scientist: World Models & 3D AI employer: spAItial AI

At SpAItial, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. Our culture fosters growth and inclusivity, providing employees with unique opportunities to engage directly with cutting-edge AI technology while ensuring a supportive atmosphere that values attention to detail and operational excellence. Join us to be part of a pioneering team that not only shapes the future of 3D environments but also prioritises your professional development and well-being.

S

Contact Details:

spAItial AI Recruitment Team

We think you need these skills to ace Research Scientist: World Models & 3D AI

Generative Models
Deep Learning Frameworks
Machine Learning Experimentation
Coding Skills
Computer Vision
PhD in Computer Science or related field
Innovative Thinking